Software Engineering AI Training Expert

About OpenTrain

OpenTrain is the #1 platform for people building careers in AI training and data labeling. We help contributors find specialized projects, consolidate opportunities, and build a unified AI-training portfolio they control.

OpenTrain AI is the hiring and contracting organization for this role. Creating an OpenTrain account is free and lets you discover projects, apply, and grow a durable freelance career in the fast-growing AI training industry.

About AI training and why it matters

AI training (also called data labeling or human feedback work) is the human side of building AI: people create and verify the examples models learn from. This role focuses on training generative and decision-making systems with realistic software-engineering tasks.

Contributors do remote, flexible work that directly shapes how state-of-the-art AI systems behave. Projects range from simple annotations to expert technical tasks; specialist work like this role pays more for domain expertise.

The role

We are recruiting a Software Engineering AI Training Expert to create reinforcement-learning environments that test and improve AI models on complex software engineering problems. This is a contract, part-time position (less than 20 hours/week) open to contributors worldwide who work in English.

You will design reproducible environments with golden reference solutions, produce expert code samples and debugging strategies, and validate peer submissions to help train next-generation coding models.

What you'll do

• Design reinforcement learning environments that test model capabilities such as fixing code, creating features, refactoring, and performance optimization.
• Build reproducible environments and include golden reference solutions for automated and human evaluation.
• Provide expert-level code samples, debugging strategies, and development insights in one or more languages: Python3, Java, Rust, Go, C++, or TypeScript.
• Analyze, troubleshoot, and resolve complex software defects and performance bottlenecks.
• Implement robust new features with attention to scalability and maintainability.
• Refactor and optimize legacy codebases to demonstrate correct behavior and best practices.
• Document technical reasoning and code decisions clearly for use as training signals.
• Review and validate peer-contributed code and technical submissions, rating correctness and quality.

Requirements

Preserve the technical requirements below when applying—these are essential for the role.

• Significant hands-on expertise in at least one of: Python3, Java, Rust, Go, C++, or TypeScript.
• Deep understanding of algorithms, data structures, and core software engineering principles.
• Proven ability to debug complex systems and resolve non-trivial bugs.
• Experience with large codebase refactoring and legacy system modernization.
• Strong documentation and written communication skills in English.
• Interest in AI and its technical challenges; prior AI experience is not required.

Who should apply

This role suits software engineers and experienced programmers who enjoy pedagogy and reproducible engineering: people who can turn complicated coding tasks into clear problems, reference solutions, and evaluation criteria.

Although listed as entry level on the project metadata, the duties expect hands-on engineering expertise; apply if you can demonstrate the required language skills and problem-solving experience.

Compensation, schedule, and logistics

Pay is per hour (PAY_PER_HOUR). The project pays between $50 and $150 per hour, with assignments available up to $150/hr depending on task complexity and your qualifications. Work is contract, part-time, and typically under 20 hours per week.

This project is worldwide and remote; required work language is English. Tasks involve labeling and evaluation of computer code (COMPUTER_CODE_PROGRAMMING) and include coding and evaluation/rating label types.

How to apply and next steps

Create an OpenTrain account (free), complete your profile with relevant languages and coding experience, and apply to the project from the platform. OpenTrain AI will review applications and share task instructions and onboarding materials with selected contributors.

If selected, you'll receive access to task interfaces and documentation explaining environment setup, golden references, and evaluation criteria. Ongoing work is paid per hour under contract.